Machine Learning Engineer

As a Machine Learning Engineer at our company, you will play a crucial role in developing and deploying ML models in production. You will be responsible for building end-to-end ML pipelines, including data preparation, feature engineering, training, and validation. Integration of ML with APIs and microservices for web and mobile applications will also be a key part of your responsibilities. Additionally, you will monitor model performance, optimize accuracy, and ensure scalability while collaborating with cross-functional teams to deliver impactful AI solutions. Key Responsibilities: - Develop and deploy ML models in production. - Build end-to-end ML pipelines: data prep, feature engineering, training, validation. - Integrate ML with APIs & microservices for web & mobile apps. - Monitor model performance, optimize accuracy & scalability. - Collaborate with cross-functional teams to deliver impactful AI solutions. Qualifications Required: - 34 years of experience in ML/AI development. - Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). - Familiarity with cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI). - Knowledge of NLP, Computer Vision, or Recommendation Systems. - Experience with Docker, REST APIs, SQL/NoSQL, Git & CI/CD. If you are interested in working on cutting-edge AI projects, collaborating with an innovative team, and seeing your models impact real users, don't hesitate to apply now at sapnar@dananda.net or share this opportunity with your colleagues. As a Machine Learning Engineer at our company, you will play a crucial role in developing and deploying ML models in production. You will be responsible for building end-to-end ML pipelines, including data preparation, feature engineering, training, and validation. Integration of ML with APIs and microservices for web and mobile applications will also be a key part of your responsibilities. Additionally, you will monitor model performance, optimize accuracy, and ensure scalability while collaborating with cross-functional teams to deliver impactful AI solutions. Key Responsibilities: - Develop and deploy ML models in production. - Build end-to-end ML pipelines: data prep, feature engineering, training, validation. - Integrate ML with APIs & microservices for web & mobile apps. - Monitor model performance, optimize accuracy & scalability. - Collaborate with cross-functional teams to deliver impactful AI solutions. Qualifications Required: - 34 years of experience in ML/AI development. - Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). - Familiarity with cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI). - Knowledge of NLP, Computer Vision, or Recommendation Systems. - Experience with Docker, REST APIs, SQL/NoSQL, Git & CI/CD. If you are interested in working on cutting-edge AI projects, collaborating with an innovative team, and seeing your models impact real users, don't hesitate to apply now at sapnar@dananda.net or share this opportunity with your colleagues.